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All Journal West Science Interdisciplinary Studies West Science Interdisciplinary Studies
Nur’aeni, Rohimatun
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Humanities Economics, Econometrics & Finance Environmental Science Social Sciences

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Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
Co-Authors Zalsahra, Rendy